Malicious Code Detection Technology based on Bi-GRU and Self-attention-Reference-Cited by-同舟云学术

Malicious Code Detection Technology based on Bi-GRU and Self-attention

Published:2019-12-20 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence
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Author:

Yongwang Tang¹,Xin Liu¹,Qizheng Deng¹

Affiliation:

1. PLA Support Force Information Engineering University, Zheng zhou, China

Publisher

ACM

Reference18 articles.

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2. Tumbler: Adaptable link access in the bots-infested Internet

3. Semantic-based Malicious Code Behavior Feature Extraction and Detection Metho[J;Rui Wang;Journal Of Software,2012

4. Models of practical defenses against computer viruses

5. 2017 IFIP/IEEE Symposium on. IEEE 2017 IFIP/IEEE Symposium on. IEEE R Vyas X Luo N McFarland Investigation of malicious portable executable file detection on the network using supervised learning techniques[C]//Integrated Network and Service Management (IM)

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